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of the projekt We aim to discover and study the function of new proteins involved in innate immune processes against pathogens. We will use a combination of computational and experimental approaches. The position
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approximately 60 employees and is responsible for two Master of Science (MSc) programs, two Bachelor of Science (BSc) programs, and one Bachelor of Science (BSc) program. We also have courses in teacher education
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your own studies. The doctoral programme comprises 240 credits for a Degree of Doctor and 120 credits for a Degree of Licentiate. The doctoral appointment is a paid position that offers a combination of
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis. You will also act as a coordinator for ongoing facility
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suitable for examination. The Ph.D. program consists of 4-year full-time studies with the position contracted based on annual evaluations. Coursework is included in the Ph.D. program. Qualifications: To be
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research school. Data driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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framework as part of a joint research program. What will be your tasks? One of our research areas focuses on the variability of coastal and marginal seas across different timescales. Proxy- and model-based
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provide user training on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection
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on EM methods. Work assignments include, operation and maintenance of instruments and computer systems, as well as assisting researchers in preparation of EM samples, data collection, and image analysis